model = vgg19.VGG19(include_top=False, weights='imagenet')
model.trainable = False
model.summary()
WIDTH, HEIGHT = 224, 224
base_img = base_img.reshape(1,WIDTH,HEIGHT,3).astype('float32')
base_img = base_img / 255
print(base_img.shape)
